Number of sickperiods and sickdays per employee by sex, sector, observations and quarter [SjukloneperiodSektor]

Documentation on provider website

Updated on DBnomics on February 22, 2023 (11:00 AM)

sex [Kon]
sector [Sektor]
observations [ContentsCode]

Dataset has 36 series. Add search filters to narrow them.

Series code 2015-Q22015-Q32015-Q42016-Q12016-Q22016-Q32016-Q42017-Q12017-Q22017-Q32017-Q42018-Q12018-Q22018-Q32018-Q42019-Q12019-Q22019-Q32019-Q42020-Q12020-Q22020-Q32020-Q42021-Q12021-Q22021-Q32021-Q4
1+2.010.000000DV 1.27 1.19 1.54 1.73 1.32 1.21 1.76 1.84 1.31 1.27 1.73 2.08 1.29 1.3 1.69 1.85 1.3 1.27 1.67 2.26 2.11 1.58 2.38 1.99 1.84 1.58 2.25
1+2.010.000000E0 0.32 0.29 0.38 0.43 0.34 0.3 0.45 0.47 0.33 0.32 0.43 0.5 0.34 0.33 0.43 0.48 0.35 0.33 0.43 0.52 0.41 0.36 0.48 0.44 0.43 0.4 0.54
1+2.030.000000DV 1.11 1.07 1.33 1.5 1.17 1.09 1.59 1.66 1.18 1.15 1.54 1.83 1.14 1.17 1.48 1.61 1.15 1.13 1.47 1.93 1.71 1.33 1.99 1.68 1.65 1.43 1.93
1+2.030.000000E0 0.29 0.27 0.34 0.39 0.31 0.28 0.41 0.43 0.31 0.3 0.39 0.45 0.3 0.3 0.39 0.43 0.31 0.3 0.38 0.45 0.34 0.31 0.41 0.37 0.38 0.37 0.47
1+2.040.000000DV 1 0.98 1.22 1.51 1.03 0.99 1.49 1.58 0.95 0.95 1.37 1.62 1.04 1.01 1.32 1.39 1.03 1 1.37 1.88 1.52 1.19 1.74 1.42 1.19 1.14 1.76
1+2.040.000000E0 0.25 0.23 0.3 0.36 0.26 0.23 0.37 0.38 0.24 0.22 0.33 0.39 0.25 0.25 0.33 0.36 0.27 0.26 0.35 0.42 0.29 0.26 0.35 0.3 0.27 0.28 0.42
1+2.320.000000DV 1.12 1 1.37 1.58 1.14 1.05 1.5 1.68 1.17 1.1 1.53 1.94 1.19 1.19 1.51 1.79 1.17 1.05 1.45 2.07 1.59 1.24 1.67 1.47 1.41 1.15 1.72
1+2.320.000000E0 0.26 0.22 0.32 0.38 0.27 0.25 0.37 0.41 0.29 0.26 0.37 0.45 0.29 0.28 0.37 0.44 0.3 0.26 0.37 0.48 0.31 0.27 0.34 0.3 0.31 0.28 0.41
1+2.410.000000DV 1.82 1.63 2.23 2.45 1.82 1.63 2.38 2.47 1.78 1.71 2.43 2.93 1.81 1.78 2.44 2.68 1.84 1.8 2.45 3.41 3.5 2.55 3.87 3.18 2.7 2.31 3.51
1+2.410.000000E0 0.43 0.38 0.53 0.6 0.44 0.39 0.59 0.6 0.44 0.41 0.59 0.68 0.46 0.43 0.6 0.67 0.49 0.45 0.62 0.77 0.66 0.54 0.77 0.68 0.62 0.56 0.83
Dimension codes and labels
[Kon] sex
  • [1] men
  • [2] women
  • [1+2] total
[Sektor] sector
  • [010] all sectors
  • [030] business sector
  • [040] non-profit institutions serving households
  • [320] central government
  • [410] municipality
  • [420] region
[ContentsCode] observations
  • [000000DV] sickdays
  • [000000E0] sickperiods
Technical links